Correction methods for navigation systems of unmanned aerial vehicles

Authors: Tang Ning
Published in issue: #9(38)/2019
DOI: 10.18698/2541-8009-2019-9-528
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: unmanned aerial vehicle, inertial navigation system, navigation complex, navigation system error, error compensation, estimation algorithms, control, integration, prediction
Published: 01.10.2019

The description of the types of unmanned aerial vehicles (UAVs) and their navigation systems is provided. Different methods of correction for inertial navigation systems (INS) are described. The main types and sources of errors are analyzed. The issues of improving the accuracy of the navigation complex (NC) of UAVs re-entering the atmosphere are considered. Special attention is paid to the INS error analysis, as well as the gyros drift rate and Schuler oscillations. Algorithmic methods for error compensation in navigation systems are considered. Methods for using algorithms of INS autonomous correction and also estimation, control, integration and prediction algorithms are presented. Comparison of various prediction algorithms is performed: a variety of neural networks, self-organization algorithms and genetic algorithms.

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